Artificial Homeostasis: Integrating Biologically Inspired Computing

Timmis, Jon and Neal, Mark (2003) Artificial Homeostasis: Integrating Biologically Inspired Computing. Technical report. University of Kent (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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We present a framework which integrates artificial neural networks, artificial immune systems and a novel artificial endocrine system. The natural counterparts of these three components are usually assumed to be the principal actors in maintaining homeostasis within biological systems. This paper proposes a system which promises to capitalise on the self-organizing properties of these artificial systems to yield artificially homeostatic systems. The components develop in a common environment and interact in ways which draw heavily on their biological counterparts for inspiration.

Item Type: Monograph (Technical report)
Uncontrolled keywords: Homeostasis, neural networks, endrocrine systems
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:01
Last Modified: 25 Jun 2014 09:42
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